Obvious

• Make deployments boring (in the best way possible) • Own CI/CD pipelines: optimize build times, improve caching, reduce flakiness • Evolve our Kubernetes (EKS) deployment strategy for reliability and speed • Build and harden the infrastructure behind model serving, inference, and agent tooling—not just the app layer around them • Extend our telemetry with better instrumentation, smarter sampling, and actionable dashboards, including eval pipelines and LLM-ops guardrails • Build alerting that catches actual problems and ignores noise • Make the feedback loop from code to production as fast as possible • Improve preview environments, local dev tooling, and testing infrastructure • Eliminate toil through thoughtful automation, not another dashboard nobody reads • Be the engineer who makes other engineers—and agents—faster

• Ship at least 3 PRs on your first day • Drive full-stack feature development from conception to deployment, owning key product initiatives end-to-end • Collaborate on the design and implementation of user-facing features that improve the experience • Build robust, performant web applications using modern frontend and backend technologies • Identify opportunities for optimization and enhancement in existing systems • Contribute to the architectural decisions that shape the product • Set the industry standard for the UX of agent products • Build AI/LLM integrations as a core part of the product, not a bolt-on—agent-facing UX, not just prompting